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Leaderboard/models/llama-3-3-70b-instruct

Llama-3.3-70B-Instruct

9 workload results across 3 hardware configurations.

Fastest config measured by llm-speed (@llmspeed)

19.1 decode tok/s

on 2x RTX 3090 (24GB) via llama.cpp (Q4_K_M). see full run

Signed runs (9 workload results)

2 of 3 runs were measured by llm-speed (@llmspeed); the other one is community-submitted (signed on the submitter's own machine, not measured by llm-speed, and not used for llm-speed verdicts).

A40 (45GB): 48GB, ~45 GiB usable. The label shows what its driver reports as usable, not the 48GB spec.

2x RTX 3090 (24GB)2x RTX 3090 (24GB)measured by llm-speed

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRunSource
chat-shortllama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M19.14tok/s415.4tok/s325msr_n93ukk0mkmmMeasured by llm-speed@llmspeed
chat-longllama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M18.69tok/s939.3tok/s3,366msr_n93ukk0mkmmMeasured by llm-speed@llmspeed
concurrent-decodellama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M19.00tok/sno datano datar_n93ukk0mkmmMeasured by llm-speed@llmspeed
agent-tracellama.cpp@0.7.0-dev (build 1, commit f74e2fa)Q4_K_M18.85tok/s2,028.8tok/s1,037msr_n93ukk0mkmmMeasured by llm-speed@llmspeed

A40 (45GB)A40 (45GB)measured by llm-speed

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRunSource
chat-shortllama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.99tok/s401.0tok/s337msr_19f64yux97oMeasured by llm-speed@llmspeed
chat-longllama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.67tok/s551.4tok/s5,735msr_19f64yux97oMeasured by llm-speed@llmspeed
concurrent-decodellama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.85tok/sno datano datar_19f64yux97oMeasured by llm-speed@llmspeed
agent-tracellama.cpp@0.7.0-dev (build 1, commit ceefd16)Q4_K_M12.72tok/s1,574.5tok/s1,344msr_19f64yux97oMeasured by llm-speed@llmspeed

M3 Ultra (60-core GPU) + 96GB unifiedM3 Ultra (60-core GPU) + 96GB unified

WorkloadBackendQuantdecode tok/sprefill tok/sTTFTRunSource
chat-shortmlx@0.31.34BIT16.78tok/s25.09tok/s5,420msr_sx3a4y9n-m4Community-submitted

Can Llama-3.3-70B-Instruct run on your hardware?

Fastest decode speed on each GPU or Mac, from llm-speed's own runs and community-submitted runs. Each page lists every quant and runtime and labels which runs llm-speed measured.

Llama-3.3-70B-Instruct on hardware

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